기계학습 기반 내부자위협 탐지기술: RNN Autoencoder를 이용한 비정상행위 탐지
Vol. 27, No. 4, pp. 763-774,
8월.
2017
10.13089/JKIISC.2017.27.4.763,
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Keywords: Insider threat, Machine Learning, Neural Network, Anomaly detect, information security
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Keywords: Insider threat, Machine Learning, Neural Network, Anomaly detect, information security
Abstract Statistics
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[IEEE Style]
D. Ha, K. Kang, Y. Ryu, "Detecting Insider Threat Based on Machine Learning: Anomaly Detection Using RNN Autoencoder," Journal of The Korea Institute of Information Security and Cryptology, vol. 27, no. 4, pp. 763-774, 2017. DOI: 10.13089/JKIISC.2017.27.4.763.
[ACM Style]
Dong-wook Ha, Ki-tae Kang, and Yeonseung Ryu. 2017. Detecting Insider Threat Based on Machine Learning: Anomaly Detection Using RNN Autoencoder. Journal of The Korea Institute of Information Security and Cryptology, 27, 4, (2017), 763-774. DOI: 10.13089/JKIISC.2017.27.4.763.